Cloudeval AI
NPM · @GANAKAILABS/CLOUDEVAL-CLI
Cloud evaluations and reviews for Azure and static AWS CloudFormation (beta). Requires an account.
Available components
Last scanned (3 hours ago)
Scores higher than 94% of npm servers
Category Cloud Infrastructure
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 69 of 280 dependencies flagged as unhealthy (6 deprecated). View diagnostics → Partial
Provenance & Transparency87
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to ganakailabs/cloudeval-cli). View diagnostics → Pass
- License check failed: the license (LicenseRef-CloudEval-CLI) isn't a recognized OSI-approved license. See how to fix → Fail
- Actively maintained (last published 56 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability78
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 6918 tokens (~135/item across 51 items; 45 tools + 6 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage98
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 92% of tool parameters carry a description.Partial
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 45 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 47 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities60
- Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 31 Oct 26 +3
- CVE-2026-109461 no longer affects this package ▲ security
- Known CVEs: fail → pass ▲ security
- Stability: 0.97 → pass security
- 30 Oct 26 0
- Security disclosure: unverified → pass ▲ functional
- Stability: pass → 0.97 functional
- 29 Oct 26 −1
- Security disclosure: pass → unverified ▼ functional
- 24 Oct 26 −2
- CVE-2026-109461 affects this package: high ▼ security
- Known CVEs: pass → fail ▼ security
- Stability: 0.97 → pass security
- 23 Oct 26 0
- Stability: pass → 0.97 functional
- 17 Oct 26 0
- Stability: 0.97 → pass security
- 16 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 13 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Analysed npm/@ganakailabs/cloudeval-cli@0.38.5
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | npm |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | ganakailabs/cloudeval-cli |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/ganakailabs/cloudeval-cli/.github/workflows/npm-publish.yml@refs/heads/main |
| Rekor log index | 2772946990 |
| Predicate type | SLSA build provenance https://slsa.dev/provenance/v1 |
| Subject digest | sha512:0eaa5ebec0ffc82e02d423ecd9305a2b0d445d5f190a773e28f4099f38ec92ef82cd0c1910f1fd9854f0c80166cfbd2a0ad63956d5b376d098c51581b |
Background: How many MCP packages publish verified provenance →
Dependencies 280 packages
| Packages resolved | 280 |
|---|---|
| Deprecated | 6 |
| Stale | 63 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
sessions_get Get Session ~138
Return one local Cloudeval CLI session by thread id.
| Name | Type | Req | Description |
|---|---|---|---|
| baseUrl | string | – | Cloudeval API base URL. Defaults to the MCP server --base-url, active profile, CLOUDEVAL_BASE_URL, or the public API. |
| frontendUrl | string | – | Cloudeval frontend base URL for generated links. Defaults to --frontend-url, active profile, CLOUDEVAL_FRONTEND_URL, or public frontend. |
| profile | string | – | Cloudeval CLI config profile to read defaults from. Defaults to the server --profile or CLOUDEVAL_PROFILE. |
| threadId | string | yes | Local session thread id. |
| Name | Type | Req | Description |
|---|---|---|---|
| command | string | yes | – |
| data | – | yes | Tool-specific result payload. |
| filesWritten | array | – | – |
| frontendUrl | string | – | – |
| ok | boolean | yes | – |
| traceId | string | – | – |
No examples provided.
sessions_list List Sessions ~131
List local Cloudeval CLI session history summaries.
| Name | Type | Req | Description |
|---|---|---|---|
| baseUrl | string | – | Cloudeval API base URL. Defaults to the MCP server --base-url, active profile, CLOUDEVAL_BASE_URL, or the public API. |
| frontendUrl | string | – | Cloudeval frontend base URL for generated links. Defaults to --frontend-url, active profile, CLOUDEVAL_FRONTEND_URL, or public frontend. |
| limit | number | – | – |
| profile | string | – | Cloudeval CLI config profile to read defaults from. Defaults to the server --profile or CLOUDEVAL_PROFILE. |
| Name | Type | Req | Description |
|---|---|---|---|
| command | string | yes | – |
| data | – | yes | Tool-specific result payload. |
| filesWritten | array | – | – |
| frontendUrl | string | – | – |
| ok | boolean | yes | – |
| traceId | string | – | – |
No examples provided.
sessions_search Search Sessions ~141
Search local Cloudeval CLI session titles and messages.
| Name | Type | Req | Description |
|---|---|---|---|
| baseUrl | string | – | Cloudeval API base URL. Defaults to the MCP server --base-url, active profile, CLOUDEVAL_BASE_URL, or the public API. |
| frontendUrl | string | – | Cloudeval frontend base URL for generated links. Defaults to --frontend-url, active profile, CLOUDEVAL_FRONTEND_URL, or public frontend. |
| limit | number | – | – |
| profile | string | – | Cloudeval CLI config profile to read defaults from. Defaults to the server --profile or CLOUDEVAL_PROFILE. |
| query | string | yes | Search query. |
| Name | Type | Req | Description |
|---|---|---|---|
| command | string | yes | – |
| data | – | yes | Tool-specific result payload. |
| filesWritten | array | – | – |
| frontendUrl | string | – | – |
| ok | boolean | yes | – |
| traceId | string | – | – |
No examples provided.
status CLI Status ~125
Return local Cloudeval CLI status and active configuration metadata.
| Name | Type | Req | Description |
|---|---|---|---|
| baseUrl | string | – | Cloudeval API base URL. Defaults to the MCP server --base-url, active profile, CLOUDEVAL_BASE_URL, or the public API. |
| frontendUrl | string | – | Cloudeval frontend base URL for generated links. Defaults to --frontend-url, active profile, CLOUDEVAL_FRONTEND_URL, or public frontend. |
| profile | string | – | Cloudeval CLI config profile to read defaults from. Defaults to the server --profile or CLOUDEVAL_PROFILE. |
| Name | Type | Req | Description |
|---|---|---|---|
| command | string | yes | – |
| data | – | yes | Tool-specific result payload. |
| filesWritten | array | – | – |
| frontendUrl | string | – | – |
| ok | boolean | yes | – |
| traceId | string | – | – |
No examples provided.
How do I install the Cloudeval AI MCP server?
Cloudeval AI runs locally as an npm package, launched with npx -y @ganakailabs/cloudeval-cli. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @ganakailabs/cloudeval-cli
claude mcp add ganakailabs-cloudeval -- npx -y @ganakailabs/cloudeval-cli
What is the Cloudeval AI MCP server?
Cloudeval AI is an MCP server listed in the public MCP registry as io.github.ganakailabs/cloudeval. Cloud evaluations and reviews for Azure and static AWS CloudFormation (beta). Requires an account. This page covers its npm package (@ganakailabs/cloudeval-cli).
Is the Cloudeval AI MCP server safe to use?
Cloudeval AI scores 91 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Cloudeval AI MCP server expose?
Cloudeval AI exposes 45 tools: capabilities_get, agent_profiles_list, agent_profiles_get, projects_list, projects_get, and 40 more. Their descriptions and schemas cost roughly 6,771 tokens of context every time the server is loaded.
Is the Cloudeval AI MCP server still maintained?
Cloudeval AI is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the Cloudeval AI MCP server under?
Cloudeval AI declares the LicenseRef-CloudEval-CLI licence, which is not on the OSI-approved list. Read the terms before using it at work, and note this covers the source only, not the cost of any service it calls.